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Objectives: Thrombotic microangiopathy (TMA) is characterized by thrombocytopenia, microangiopathic hemolytic anemia and target organ damage. Pregnancy is associated with several forms of TMA, including preeclampsia (PE), HELLP syndrome, thrombotic thrombocytopenic purpura (TTP) and hemolytic uremic syndrome (HUS). When HUS is secondary to a deregulation of the alternative complement pathway, it is known as atypical HUS (aHUS). Differential diagnosis is challenging, as these forms share clinical characteristics. However, early diagnosis is crucial for a specific treatment to be established and improve prognosis. Case presentation: We present the case of a 43 year-old primiparous woman admitted to hospital for an urgent C-section at 33 gestational weeks due to a diagnosis of severe preeclampsia and fetal distress. In the immediate postpartum, the patient developed acute liver failure and anuric renal failure in the context of the HELLP syndrome, anemia, thrombocytopenia, arterial hypertension (HTN) and neurological deficit. TMA study and differential diagnosis confirmed pregnancy-associated aHUS. Treatment with eculizumab was initiated, with good response and progressive improvement of clinical and analytical parameters. Conclusions: aHUS is a rare multifactorial disease that used to be associated with high mortality rates before the advent of eculizumab. Due to challenging diagnosis, the clinical laboratory plays a major role in the differential diagnosis and management of the disease.
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Right ventricular dysfunction is common in critically ill patients, and is associated with increased mortality. Its diagnosis moreover remains challenging. In this review, we aim to outline the potential mechanisms underlying abnormal biomechanics of the right ventricle and the different injury phenotypes. A comprehensive understanding of the pathophysiology and natural history of right ventricular injury can be informative for the intensivist in the diagnosis and management of this condition, and may serve to guide individualized treatment strategies. We describe the main recommended parameters for assessing right ventricular systolic and diastolic function. We also define how to evaluate cardiac output and pulmonary circulation pressures with echocardiography, with a focus on the diagnosis of acute cor pulmonale and relevant applications in critical disorders such as distress, septic shock, and right ventricular infarction.
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Enfermedad Crítica , Ecocardiografía , Disfunción Ventricular Derecha , Humanos , Disfunción Ventricular Derecha/diagnóstico por imagen , Disfunción Ventricular Derecha/fisiopatología , Disfunción Ventricular Derecha/etiología , Ecocardiografía/métodos , Enfermedad Cardiopulmonar/diagnóstico por imagen , Enfermedad Cardiopulmonar/fisiopatología , Gasto CardíacoRESUMEN
OBJECTIVE: To design a mortality indicator in acute coronary syndrome (ACS) in the intensive care unit (ICU). DESIGN: A multicenter, observational descriptive study was carried out. PARTICIPANTS: Patients with ACS admitted to the ICUs included in the ARIAM-SEMICYUC registry between January 2013 and April 2019. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Demographic parameters, time of access to the healthcare system, and clinical condition. Revascularization therapy, drugs and mortality were analyzed. Cox regression analysis was performed, followed by the design of a neural network. A receiver operating characteristic curve (ROC) was plotted to calculate the power of the new score. Lastly, the clinical utility or relevance of the ARIAM indicator (ARIAM's) was assessed using a Fagan test. RESULTS: A total of 17,258 patients were included in the study, with a mortality rate of 3.5% (nâ¯=â¯605) at discharge from the ICU. The variables showing statistical significance (Pâ¯<â¯.001) were entered into the supervised predictive model, an artificial neural network. The new ARIAM's yielded a mean of 0.0257 (95%CI: 0.0245-0.0267) in patients discharged from the ICU versus 0.27085 (95%CI: 0.2533-0.2886) in those who died (Pâ¯<â¯.001). The area under the ROC curve of the model was 0.918 (95%CI: 0.907-0.930). Based on the Fagan test, the ARIAM's showed the mortality risk to be 19% (95%CI: 18%-20%) when positive and 0.9% (95%CI: 0.8%-1.01%) when negative. CONCLUSIONS: A new mortality indicator for ACS in the ICU can be established that is more accurate and reproducible, and periodically updated.